Next-generation A/B testing and feature flagging platform.
What it does
Automates experiment analysis and metric governance directly on top of modern data warehouses.
Manages feature flags and targeted rollouts for engineering and product teams.
Performs marketing incrementality tests and causal inference evaluations.
Provides deep personalization and AI model evaluation capabilities for data-driven organizations.
Why it works
Direct connection to the modern data warehouse eliminates redundant data storage and pipelines.
Rigorous statistical engine ensures high power and minimizes false positives in testing results.
Unified workflows combine feature flagging and experiment analysis into a single interface.
Scales effectively from mid-market startups to high-volume enterprise tech companies.
Next-generation A/B testing and feature flagging platform.
Overview
Eppo is a modern experimentation and feature management platform designed to help data and product teams run reliable A/B tests. Leveraging the modern data stack, it connects directly to data warehouses to deliver automated experiment analysis and metric governance. The platform streamlines rollouts while minimizing heavy manual data engineering work. Enterprises use Eppo to scale decision-making velocity and align product changes with core business revenue.
Founded year:2021
Founder:Chetan Sharma
Team size:26-100
Popularity:1,000+ companies
HQ:San Francisco, United States
Status:Active
Funding status:Acquired
Customer type:B2B
Funding:$51.3M
Pricing:Enterprise
Tech stack:Cloud infrastructure, Modern data stack, REST APIs, TypeScript
Automates experiment analysis and metric governance directly on top of modern data warehouses.
Manages feature flags and targeted rollouts for engineering and product teams.
Performs marketing incrementality tests and causal inference evaluations.
Provides deep personalization and AI model evaluation capabilities for data-driven organizations.
Who it's for
Product Managers
Data Analysts and Scientists
Software Engineers
Growth Marketing Teams
Why it works
Direct connection to the modern data warehouse eliminates redundant data storage and pipelines.
Rigorous statistical engine ensures high power and minimizes false positives in testing results.
Unified workflows combine feature flagging and experiment analysis into a single interface.
Scales effectively from mid-market startups to high-volume enterprise tech companies.
Founder story
Eppo was founded in 2021 by Chetan Sharma in San Francisco, United States. Having experienced the challenges of scaling internal experimentation tools at leading tech companies, the founder built Eppo to democratize enterprise-grade A/B testing. Backed by major venture capital investors, the company has grown into a key player in the data analytics and experimentation space.
Alternatives
Comparison overview
Eppo computes experiment results directly within the user's data warehouse for transparent metric governance n/][Alternative platforms like LaunchDarkly focus heavily on feature management with separate proprietary analytics infrastructure n/